Ales Holobar

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	9777	6304
h-index	45	38
i10-index	90	78

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20082009201020112012201320142015201620172018201920202021202220232024202537 45 97 108 126 217 285 315 399 445 523 676 748 1059 1238 1518 1474 258

Nyilvános hozzáférés

Összes megtekintése

92 cikk

37 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

Prof. Dr. Dario FarinaProfessor and Chair in Neurorehabilitation Engineering, Dept. Bioengineering, Imperial CollegeE-mail megerősítve itt: imperial.ac.uk
Damjan ZazulaProfessor of Computer Science, University of Maribor, SloveniaE-mail megerősítve itt: um.si
Roger EnokaUniversity of Colorado BoulderE-mail megerősítve itt: colorado.edu
Francesco NegroDepartment of Clinical and Experimental SciencesE-mail megerősítve itt: unibs.it
Alberto BotterPolitecnico di TorinoE-mail megerősítve itt: polito.it
Professor Deborah FallaChair in Rehabilitation Science and Physiotherapy, School of Sport, Exercise and RehabilitationE-mail megerősítve itt: bham.ac.uk
Alessandro Del VecchioDepartment Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-UniversityE-mail megerősítve itt: fau.de
Francois HugUniversité Côte d'azurE-mail megerősítve itt: univ-nantes.fr
Eduardo Rocon (ORCID: 0000-0001-9...Full Professor at Centre for Automation and Robotics, CSIC-UPM (https://ror.org/02wh02235)E-mail megerősítve itt: csic.es
Jakob DideriksenDepartment of Health Science and Technology, Aalborg University, DenmarkE-mail megerősítve itt: hst.aau.dk
Juan Alvaro GallegoSenior Lecturer and Group Leader, Department of Bioengineering, Imperial College LondonE-mail megerősítve itt: imperial.ac.uk
Madeleine LoweryUniversity College DublinE-mail megerősítve itt: ucd.ie
Kylie TuckerSchool of Biomedical Sciences, The University of QueenslandE-mail megerősítve itt: uq.edu.au
Jose L. PonsScientific Chair, Shirley Ryan AbilityLab (formerly Rehabilitation Institute of Chicago)E-mail megerősítve itt: sralab.org
Julián Benito-LeónComplutense UniversityE-mail megerősítve itt: salud.madrid.org
Hamid Reza MaratebAssociate Professor of Biomedical engineering, University of Isfahan and Research fellow at UPC.E-mail megerősítve itt: eng.ui.ac.ir

Követés

Ales Holobar

Faculty of Electrical Engineering and Computer Science, University of Maribor

E-mail megerősítve itt: um.si

Biomedical engineering biosignal processing neural engineering signal processing


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
The extraction of neural information from the surface EMG for the control of upper-limb prostheses: emerging avenues and challenges D Farina, N Jiang, H Rehbaum, A Holobar, B Graimann, H Dietl, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (4 …, 2014	1052	2014
Multichannel blind source separation using convolution kernel compensation A Holobar, D Zazula IEEE Transactions on Signal Processing 55 (9), 4487-4496, 2007	648	2007
Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation F Negro, S Muceli, AM Castronovo, A Holobar, D Farina Journal of neural engineering 13 (2), 026027, 2016	587	2016
Decoding the neural drive to muscles from the surface electromyogram D Farina, A Holobar, R Merletti, RM Enoka Clinical neurophysiology 121 (10), 1616-1623, 2010	430	2010
Analysis of motor units with high-density surface electromyography R Merletti, A Holobar, D Farina Journal of electromyography and kinesiology 18 (6), 879-890, 2008	399	2008
Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric A Holobar, MA Minetto, D Farina Journal of neural engineering 11 (1), 016008, 2014	396	2014
Fluctuations in isometric muscle force can be described by one linear projection of low‐frequency components of motor unit discharge rates F Negro, A Holobar, D Farina The Journal of physiology 587 (24), 5925-5938, 2009	347	2009
Estimating motor unit discharge patterns from high-density surface electromyogram A Holobar, D Farina, M Gazzoni, R Merletti, D Zazula Clinical Neurophysiology 120 (3), 551-562, 2009	344	2009
You are as fast as your motor neurons: speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans A Del Vecchio, F Negro, A Holobar, A Casolo, JP Folland, F Felici, ... The Journal of physiology 597 (9), 2445-2456, 2019	335	2019
Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals A Del Vecchio, A Holobar, D Falla, F Felici, RM Enoka, D Farina Journal of Electromyography and Kinesiology 53, 102426, 2020	309	2020
Experimental analysis of accuracy in the identification of motor unit spike trains from high-density surface EMG A Holobar, MA Minetto, A Botter, F Negro, D Farina IEEE Transactions on Neural Systems and Rehabilitation Engineering 18 (3 …, 2010	286	2010
Consensus for experimental design in electromyography (CEDE) project: Amplitude normalization matrix M Besomi, PW Hodges, EA Clancy, J Van Dieën, F Hug, M Lowery, ... Journal of Electromyography and Kinesiology 53, 102438, 2020	262	2020
Advances in surface EMG: recent progress in detection and processing techniques R Merletti, M Aventaggiato, A Botter, A Holobar, H Marateb, TMM Vieira Critical Reviews™ in Biomedical Engineering 38 (4), 2010	229	2010
Characterization of human motor units from surface EMG decomposition D Farina, A Holobar Proceedings of the IEEE 104 (2), 353-373, 2016	213	2016
Correlation-based decomposition of surface electromyograms at low contraction forces A Holobar, D Zazula Medical and Biological Engineering and Computing 42, 487-495, 2004	181	2004
Blind source identification from the multichannel surface electromyogram A Holobar, D Farina Physiological measurement 35 (7), R143, 2014	158	2014
Consensus for experimental design in electromyography (CEDE) project: Electrode selection matrix M Besomi, PW Hodges, J Van Dieën, RG Carson, EA Clancy, ... Journal of Electromyography and Kinesiology 48, 128-144, 2019	148	2019
Real-time motor unit identification from high-density surface EMG V Glaser, A Holobar, D Zazula IEEE transactions on neural systems and rehabilitation engineering 21 (6 …, 2013	148	2013
Gradient convolution kernel compensation applied to surface electromyograms A Holobar, D Zazula International Conference on Independent Component Analysis and Signal …, 2007	130	2007
Age-related changes in motor unit firing pattern of vastus lateralis muscle during low-moderate contraction K Watanabe, A Holobar, M Kouzaki, M Ogawa, H Akima, T Moritani Age 38, 1-14, 2016	116	2016

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